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基于主成分分析的重庆地区杨梅果实品质综合评价OA

Comprehensive evaluation of the quality of different bayberry varieties in Chongqing based on principal component analysis

中文摘要英文摘要

[目的]对重庆地区不同品种杨梅果实品质进行综合评价,构建适宜本地区的杨梅果实品质综合评价体系,以期筛选优异种质.[方法]以29份杨梅资源果实为材料,对33个果实品质指标进行测定,利用差异分析、相关性分析、聚类分析和主成分分析对杨梅果实品质进行综合评价并排名.[结果]不同杨梅资源间33个品质性状存在显著差异,并表现出强弱不一的相关性;通过主成分分析将15个品质指标归为5个主成分,累计贡献率达84.034%,分别反映了杨梅果实的功能性状(第1、第3、第4、第5主成分)和外观风味品质(第2主成分);综合评价筛选出铁离子还原抗氧化能力(FRAP)、单果质量、蔗糖含量、槲皮素含量、Ca含量、维生素C含量作为评价杨梅果实品质的核心指标;聚类分析将29份杨梅资源划分为2个类群,综合排名为Ⅰ>Ⅱ.[结论]不同杨梅资源间果实品质指标差异较大,经综合评价筛选出黑瑞林、HG-15、迟色、黑晶、早荠蜜梅等优异杨梅种质资源,为重庆地区杨梅良种选育与推广提供了科学指导.

[Objective]In recent years,bayberry,as a functional fruit,has been increasingly favored by consumers.Fruit quality is the primary factor determining the commodity value and economic benefits of fruits,and it is also the main basis for evaluating the quality of germplasm resources.It is usually evaluated by a combination of multiple trait indicators that affect internal and external quality.At pres-ent,many studies have comprehensively applied multiple analytical methods to fruit quality evaluation,such as pear,passion fruit,citrus,etc.However,reports on the comprehensive evaluation of the quality of bayberry fruits,especially those of wild varieties and introduced varieties in Chongqing,are almost nonexistent.Therefore,this study aimed to conduct a comprehensive evaluation of the fruit quality of different bayberry resources in Chongqing to screen out the core trait indicators suitable for evaluating the fruit quality in this area and to establish a comprehensive evaluation system for bayberry fruit quali-ty suitable for this region.At the same time,excellent germplasm would be screened out to provide some reference for the efficient and scientific evaluation,selection and breeding of new variety,and pro-motion of the bayberry germplasm resources in Chongqing.[Methods]29 resources of bayberry fruits were collected from the germplasm repository of the Fruit Research Institute of the Chongqing Acade-my of Agricultural Sciences(including 21 cultivated varieties and 8 local wild resources)as materials in 2024.A total of 33 fruit quality indicators were determined,including 8 appearance quality indicators,10 sugar acid and nutrient indicators,7 antioxidant capacity indicators,and 8 mineral elements.Multi-ple statistical analysis methods,such as difference analysis,correlation heatmap analysis,cluster analy-sis,and principal component analysis,were used to comprehensively evaluate and rank the quality of the bayberry fruits.[Results]The differential analysis showed that there were significant differences in the degree of variation of various quality traits of the 29 bayberry fruits.In terms of appearance quality,the coefficient of variation of the fruit shape index and edible rate was small(only 4.72%and 5.64%),and the coefficient of variation of the yellow-blue color difference b* value was large(78.93%).The co-efficient of variation of the soluble solids and total sugar content was small(only 9.54%and 8.97%),and the coefficient of the variation of other indicators was between 14.04%and 57.48%.The results showed that bayberry was sucrose accumulation fruit and citric acid dominant fruit.In terms of pheno-lic compounds and antioxidant capacity,the coefficient of the variation of quercetin and anthocyanins was relatively high,at 75.21%and 85.93%,respectively.Among the different resources,WM-17 and Heiruilin were the varieties with the highest total phenol and flavonoid content,respectively,Heiruilin was the variety with the strongest comprehensive antioxidant capacity,and Shuijingzhong was the vari-ety with the lowest total phenol content.In terms of mineral nutritional quality,the coefficient of the variation of different mineral elements ranged from 15.64%to 94.39%.Among them,Fe,as the trace el-ement with the highest content,had a relatively high coefficient of variation(76.11%),while the coeffi-cient of the variation of Se content was as high as 94.39%,indicating extremely high variability.The correlation analysis showed that there was a significant or extremely significant correlation between the various quality indicators of different varieties of bayberry.For instance,all the color difference parame-ters were significantly negatively correlated with the antioxidant activity indicators,and the synthesis and function of polyphenolic substances were closely and positively correlated with the multiple ele-ments such as Ca,Mg,Fe,etc.However,the six indicators of the soluble solids,malic acid,fructose,glucose,amino acids,and selenium content showed almost no significant correlation with other indica-tors,indicating that the correlation strength between the different indicators would vary.The purpose of simplifying the quality indicator evaluation system could be achieved by screening the indicators with extremely high or low correlation.Based on the correlation analysis results and coefficient of variation,18 quality indicators with excessively high or low correlation and a small coefficient of variation were excluded,and only the remaining 15 indicators were subjected to the principal component analysis.The results classified 15 indicators into 5 principal components,with a cumulative contribution rate of 84.034%and principal component eigenvalues ranging from 1.848 to 4.183.The five principal compo-nents could be divided into two categories,reflecting the functional traits of the bayberry fruit(includ-ing the 1st,3rd,4th,and 5th principal components)and the appearance and flavor quality(including the 2nd principal component).At the same time,six quality indicators were selected as the core indicators for evaluating the quality of bayberry,including iron ion reduction antioxidant capacity(FRAP),aver-age mass,sucrose content,quercetin content,Ca content,and vitamin C content.Based on the score co-efficients of each principal component,15 standardized fruit trait values were substituted into these 5 principal components to obtain the scores of each variety on the 5 principal components,namely F1-F5.Using the ratio of the variance contribution rate of each principal component to the cumulative variance contribution rate as the weight coefficient,a comprehensive score model for the bayberry fruit quality indicators was constructed as follows:F-score=0.332F1+0.221F2+0.152F3+0.149F4+0.147F5.The comprehensive score of the fruit quality for the 29 bayberry resources was ultimately calculated to vary between-0.954 and 0.897,with a higher F-score indicating better overall quality of bayberry.When the Euclidean distance was between 22 and 25,the cluster analysis grouped the 29 bayberry materials into two clusters,with the first cluster including 17 materials,which were cultivated superior varieties,and the second cluster including 12 materials,which were wild varieties.By combining the principal compo-nent comprehensive scores,it was found that the overall ranking of the two groups was Ⅰ>Ⅱ,which was consistent with reality.[Conclusion]There were significant differences in quality indicators among different resources of the bayberry fruits.A comprehensive screening identified superior bayber-ry germplasm resources such as Heiruilin,HG-15,Chise,Heijing,and Zaoqimimei.Among them,Heir-uilin(0.897)had the highest comprehensive score,far exceeding the second-ranked HG-15(0.699),and performed the best in the overall evaluation of the fruit quality of the 29 bayberry resources.The re-search results would provide guidance for the breeding and promotion of improved bayberry varieties in Chongqing.

李雪;杨丽;王进;陈元平;刘世明;樊清;方进强;武峥

重庆市农业科学院果树研究所,重庆 401329重庆市农业科学院果树研究所,重庆 401329重庆市农业科学院果树研究所,重庆 401329重庆市农业科学院果树研究所,重庆 401329重庆市农业科学院果树研究所,重庆 401329重庆市南川区农村发展服务中心,重庆 408400重庆市南川区农村发展服务中心,重庆 408400重庆市农业科学院果树研究所,重庆 401329

农业科技

杨梅果实品质相关性分析聚类分析主成分分析综合评价

BayberryFruit qualityCorrelation analysisCluster analysisPrincipal component analy-sisComprehensive evaluation

《果树学报》 2026 (5)

1186-1199,14

2024年重庆市级特色经济作物全域提质增效项目(FWLX20241200129)2024年重庆市农业产业发展技术支撑项目(FWLX2024-1000068)

10.13925/j.cnki.gsxb.20250527

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